Abstract
The traditional shot-cut detection technology based on block color histogram has many disadvantages: sequential block frame difference computation, block without clear boundary, computing cost and so on. The new shot-cut detection algorithm with Domain Histogram by weight is present and brings up the definition of TK (Threshold Kernel) and VF (Visual Factor). The experiments result shows that the algorithm is superior to the traditional blocked histogram.
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References
Stefan, S., De Witte, V.: Histogram-based fuzzy colour filter for image restoration. Image and Vision Computing 25(11), 1377–1390 (2007)
Fang, H., Jiang, J.: A fuzzy logic approach for detection of video shot boundaries. Pattern Recognition 39(9), 2092–2100 (2006)
Li, G., et al.: Research on Threshold of Shot Segmentation based on Color Histogram. Computer Development & Applications 16(11), 9–10 (2008)
Zhang, Y.J., Kankanhalli, A., Smoliar, S.: Automatic partitioning of video. Multimedia Systems 1(1), 10–28 (1993)
Yong, H., Sun, Y.: The Research of the Key Frame-based Video Retrieval, pp. 15–17. Dalian University of Technology, Dalian (2005)
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, G., Zhang, L. (2011). The Research of Sub-domain Color Histogram Based on Weight. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23887-1_64
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DOI: https://doi.org/10.1007/978-3-642-23887-1_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23886-4
Online ISBN: 978-3-642-23887-1
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